High-content imaging, immunoblot and immunofluorescence data related to: Caprin-1 binding to the critical stress granule protein G3BP1 is influenced by pH
Data files
Sep 22, 2023 version files 14.69 GB
-
Images_Blots.zip
-
img_plate1734.zip
-
img_plate1735.zip
-
img_plate1737.zip
-
img_plate1740.zip
-
img_plate21691.zip
-
img_plate2171.zip
-
img_plate2185.zip
-
LLPS_GFP-Caprin-1.zip
-
LLPS_GFP-G3BP1.zip
-
pipelines_Caprin1.zip
-
pipelines_G3BP1.zip
-
README.md
Abstract
README: Supplementary data to rsob.220369: high-throughput imaging datasets and western blot images.
Overview of uploaded ZIP folders
In this repository following ZIP folders were deposited.
Listed with NAME of the ZIP-folder, SIZE, and a group-TAG. Analysis scripts related to the folders are available on GITHUB
NAME | SIZE | TAG | GITHUB |
---|---|---|---|
Images_Blots.zip | 216.08 MB | @Images_1 | - |
pipelines_G3BP1.zip | 430.17 KB | @CPpipelines_1 | https://derpaule.github.io/RSOB-22-0369_condensates_GFP-G3BP1 |
img_plate2171.zip | 2.77 GB | @HTimages_1 | https://derpaule.github.io/RSOB-22-0369_condensates_GFP-G3BP1 |
img_plate2185.zip | 3.47 GB | @HTimages_1 | https://derpaule.github.io/RSOB-22-0369_condensates_GFP-G3BP1 |
img_plate21691.zip | 3.27 GB | @HTimages_1 | https://derpaule.github.io/RSOB-22-0369_condensates_GFP-G3BP1 |
img_plate1734.zip | 1.09 GB | @HTimages_2 | https://github.com/derpaule/RSOB-22-0369_condensates_GFP-Caprin1 |
img_plate1735.zip | 1.12 GB | @HTimages_2 | https://github.com/derpaule/RSOB-22-0369_condensates_GFP-Caprin1 |
img_plate1737.zip | 1.16 GB | @HTimages_2 | https://github.com/derpaule/RSOB-22-0369_condensates_GFP-Caprin1 |
img_plate1740.zip | 1.09 GB | @HTimages_2 | https://github.com/derpaule/RSOB-22-0369_condensates_GFP-Caprin1 |
pipelines_Caprin1.zip | 473.67 KB | @CPpipelines_2 | https://github.com/derpaule/RSOB-22-0369_condensates_GFP-Caprin1 |
LLPS_GFP-G3BP1.zip | 320.97 MB | @HTimages_3 | https://github.com/derpaule/RSOB-22-0369_condensates_GFP-G3BP1 |
LLPS_GFP-Caprin-1.zip | 181.39 MB | @HTimages_4 | https://github.com/derpaule/RSOB-22-0369_condensates_GFP-Caprin1 |
GENERAL NOTES
notes on tag groups:
@HTimages_1
group comprises high-throughput imaging datasets of cellular GFP-G3BP condensation assays presented in Figure 5 of the manuscript.
@HTimages_2
group comprises high-throughput imaging datasets of cellular GFP-Caprin condensation assays presented in Figure 7 of the manuscript.
@HTimages_3
group comprises high-throughput imaging datasets of in-vitro reconstituted GFP-G3BP condensation assays (LLPS), presented in Figure 5 of the manuscript.
@HTimages_4
group comprises high-throughput imaging datasets of in-vitro reconstituted GFP-Caprin condensation assays (LLPS), presented in Figure 7 of the manuscript.
@CPpipelines_1
group comprises Cellprofiler pipelines to analyse @HTimages_1
@CPpipelines_2
group comprises Cellprofiler pipelines to analyse @HTimages_2
@Images_1
group comprises raw image files used for presentation of Blots or IF data in main and supplemental figures
notes on deposited file formats:
.TIF
or *.tif
image files can be opened using standard software for images (ImageJ, Photoshop,...)
.xlsx
can be opened using Microsoft Excel
.cpproj
project files can be opened in Cellprofiler,
@CPpipelines_1
are associated with @HTimages_1
,
@CPpipelines_2
are associated with @HTimages_2
;
@HTimages_3
are analysed by 21-08-16_LLPScondensatecount_GFPimage.cpproj
structure of FILELIST
files are organised as follows:
ZIPfolder
- folder
filename
- filename description or placeholder (see below)
filename patterns in FILELIST
Filename pattern [A|B]_[1-10].tif
would result in 20 tif image files:
- A_1.tif ... A_10.tif
- B_1.tif ... B_10.tif
*
in filename patterns was used as regular expression:
*Mock*.tif
would correspond to all TIF files containing the word "Mock"
The original image filenames were overly long and often comprised empty spaces or comma signs.
As requested by the curators, the filenames were shortened compared to the original filenames.
However, the uploaded cell profiler scripts or Excel sheets may refer to the old filenames.
To facilitate identification of the renamed files, we refer to the original filename as follows, using placeholders:
as i.e. 2Y
= SG 40x ddG3- G1-wt- H31A- 2Y
If the shortened filenames comprised spaces or comma signs
,
these were substituted by x
or X
and these changes are labeled as / /x/
and /,/X/
respectively
SPECIFIC NOTES TO TAG GROUPS
@HTimages_1 and @HTimages_2
comprise high-throughput (HT) imaging datasets that can be analysed by opening the associated pipelines @CPpipelines_1 and @CPpipelines_2 in Cellprofiler
TIF files can also be viewed using any image viewing software ImageJ.
specifics to filename pattern:
[A01|B01|C01]
identifiers for cell-lines expressing different G3BP or Caprin-1 variants, specified in deposited pipelines @CPpipelines_1 and @CPpipelines_2
[s1-s100]
recorded wells for each cell-line
w[1-2]/w3
each well was measured at three wavelengths
@HTimages_3 and @HTimages_4 datasets
comprise high-throughput (HT) imaging datasets that can be analysed by opening the associated pipeline "21-08-16_LLPScondensatecountGFPimage.cpproj" in Cellprofiler
TIF files can also be viewed using any image viewing software (https://imagej.nih.gov/ij/download.html).
specifics to filename pattern:
[2Y|H31A|wt]
identifiers for cell-lines expressing different G3BP variants, as specified in manuscript
[wt|FGDF]
identifier for Caprin-1 variant
[5|10|15|20|25|30]
measured concentrations in micromolar
[1|2|3]
number of replicate
ch0[0|1]
recorded channel; channel 0 is the relevant channel for GFP
@Images_1
raw images used for the figures presented in the manuscript, organised in folder and subfolders according to Figures in manuscript.
FILELIST
@HTimages_1
img_plate2171.zip
- plate_01: 1200 TIF image files
2Y_[A01|B01|B02|B03]_[s1-s100]_w[1-2].TIF
2Y_[A01|B01|B02|B03]_[s1-s100]_w3.tif
- with placeholder:
2Y
=SG 40x ddG3- G1-wt- H31A- 2Y
- plate_02: 1200 TIF image files with following naming pattern:
2Y_[C01|D01|D02|D03]_[s1-s100]_w[1-2].TIF
2Y_[C01|D01|D02|D03]_[s1-s100]_w3.tif
- with placeholder:
2Y
=SG 40x ddG3- G1-wt- H31A- 2Y
img_plate2185.zip
- plate_01: 1200 TIF image files with following
2Y_[A01|B01|B02|B03]_[s1-s100]_w[1-2].TIF
2Y_[A01|B01|B02|B03]_[s1-s100]_w3.tif
- with placeholder:
2Y
=SG 40x ddG3- G1-wt- H31A- 2Y
- plate_02: 1200 TIF image files with following
2Y_[C01|D01|D02|D03]_[s1-s100]_w[1-2].TIF
2Y_[C01|D01|D02|D03]_[s1-s100]_w3.tif
- with placeholder:
2Y
=SG 40x ddG3- G1-wt- H31A- 2Y
img_plate21691.zip
- plate_01: 1200 TIF image files with following
2Y_[A01|B01|B02|B03]_[s1-s100]_w[1-2].TIF
2Y_[A01|B01|B02|B03]_[s1-s100]_w3.tif
- with placeholder:
2Y
=SG 40x ddG3- G1-wt- H31A- 2Y
- plate_02: 1200 TIF image files with
2Y_[C01|D01|D02|D03]_[s1-s100]_w[1-2].tif
2Y_[C01|D01|D02|D03]_[s1-s100]_w3.TIF
- with placeholder:
2Y
=SG 40x ddG3- G1-wt- H31A- 2Y
@HTimages_2
img_plate1734.zip
- 1734_A01: 300 TIF image files with following naming pattern:
FGDF_A01_[s1-s100]_w[1-2].tif
FGDF_A01_[s1-s100]_w3.TIF
- 1734_A02: 300 TIF image files with following naming pattern:
FGDF_A02_[s1-s100]_w[1-2].tif
FGDF_A02_[s1-s100]_w3.TIF
- 1734_B01: 300 TIF image files with following naming pattern:
FGDF_B01_[s1-s100]_w[1-2].tif
FGDF_B01_[s1-s100]_w3.TIF
- 1734_B02: 300 TIF image files with following naming pattern:
FGDF_B02_[s1-s100]_w[1-2].tif
FGDF_B02_[s1-s100]_w3.TIF
- with placeholder:
FGDF
=SG 40x Cap1-wt FGDF
img_plate1735.zip
- 1735_A01: 300 TIF image files with following naming pattern:
FGDF_A01_[s1-s100]_w[1-2].tif
FGDF_A01_[s1-s100]_w3.TIF
- 1735_A02: 300 TIF image files with following naming pattern:
FGDF_A02_[s1-s100]_w[1-2].tif
FGDF_A02_[s1-s100]_w3.TIF
- 1735_B01: 300 TIF image files with following naming pattern:
FGDF_B01_[s1-s100]_w[1-2].tif
FGDF_B01_[s1-s100]_w3.TIF
- 1735_B02: 300 TIF image files with following naming pattern:
FGDF_B02_[s1-s100]_w[1-2].tif
FGDF_B02_[s1-s100]_w3.TIF
- with placeholder:
FGDF
=SG 40x Cap1-wt FGDF
img_plate1737.zip
- 1737_A01: 300 TIF image files with following naming pattern:
FGDF_A01_[s1-s100]_w[1-2].tif
FGDF_A01_[s1-s100]_w3.TIF
- 1737_A02: 300 TIF image files with following naming pattern:
FGDF_A02_[s1-s100]_w[1-2].tif
FGDF_A02_[s1-s100]_w3.TIF
- 1737_B01: 300 TIF image files with following naming pattern:
FGDF_B01_[s1-s100]_w[1-2].tif
FGDF_B01_[s1-s100]_w3.TIF
- 1737_B02: 300 TIF image files with following naming pattern:
FGDF_B02_[s1-s100]_w[1-2].tif
FGDF_B02_[s1-s100]_w3.TIF
- with placeholder:
FGDF
=SG 40x Cap1-wt FGDF
img_plate1740.zip
- 1740_A01: 300 TIF image files with following naming pattern:
FGDF_A01_[s1-s100]_w[1-2].tif
FGDF_A01_[s1-s100]_w3.TIF
- 1740_A02: 300 TIF image files with following naming pattern:
FGDF_A02_[s1-s100]_w[1-2].tif
FGDF_A02_[s1-s100]_w3.TIF
- 1740_B01: 300 TIF image files with following naming pattern:
FGDF_B01_[s1-s100]_w[1-2].tif
FGDF_B01_[s1-s100]_w3.TIF
- 1740_B02: 300 TIF image files with following naming pattern:
FGDF_B02_[s1-s100]_w[1-2].tif
FGDF_B02_[s1-s100]_w3.TIF
- with placeholder:
FGDF
=SG 40x Cap1-wt FGDF
@CPpipelines_1
pipelines_G3BP1.zip
- 6 Cellprofiler pipelines to analyse @Images_1
SG_pipeline04_caprin_plate2169_01_GFPint02.cpproj
SG_pipeline04_caprin_plate2169_02_GFPint02.cpproj
SG_pipeline04_caprin_plate2171_01_GFPint02.cpproj
SG_pipeline04_caprin_plate2171_02_GFPint02.cpproj
SG_pipeline04_caprin_plate2185_01_GFPint02.cpproj
SG_pipeline04_caprin_plate2185_02_GFPint02.cpproj
@CPpipelines_2
pipelines_Caprin1.zip
- 5 Cellprofiler pipelines to analyse @Images_2
SG_pipeline_chimera_1734_robust.cpproj
SG_pipeline_chimera_1735_robust.cpproj
SG_pipeline_chimera_1737_robust.cpproj
SG_pipeline_chimera_1740_robust_CytoNorm.cpproj
SG_pipeline_chimera_1740_robust.cpproj
@HTimages_3
LLPS_GFP-G3BP1.zip
21-08-16_LLPScondensatecount_GFPimage.cpproj
Cellprofiler pipeline to analyse the images of @HTimages_3- 21-11-02_LLPS_2Y
LLPS_2Y_[2Y|H31A|wt]XxrG1-[2Y|H31A|wt]Xx[5|10|15|20|25|30]xuM-[1|2|3]_z0_ch0[0|1].tif
- 108 TIF images of G3BP-[WT|2Y|H31A] spiked in at six concentrations\, measured in triplicate\, in two channels
- with placeholders:
LLPS_2Y_
=21-11-02, LLPS, GFP-G1wt, H31A, 2Y, rG1-wt, H31A, 2Y, 30-5 uM, 1h_GFP-G1-
+/ /x/
+/,/X/
21-11-02_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
- 21-11-03_LLPS_2Y
LLPS_2Y_[2Y|H31A|wt]XxrG1-[2Y|H31A|wt]Xx[0|5|10|15|20|25|30]xuM-[1|2|3]_z0_ch0[0|1].tif
- 126 TIF images of G3BP-[WT|2Y|H31A] spiked in at six concentrations\, measured in triplicate\, in two channels
- with placeholder:
LLPS_2Y_
=21-11-03, LLPS, GFP-G1wt, H31A, 2Y, rG1-wt, H31A, 2Y, 30-5 uM, 1h_GFP-G1-
+/ /x/
+/,/X/
21-11-04_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
- 21-12-03_LLPS_2Y
LLPS_2Y_[2Y|H31A|wt]XxrG1-[2Y|H31A|wt]Xx[0|5|10|15|20|25|30]xuMXx1h-[1|2|3]_z0_ch0[0|1].tif
- 126 TIF images of G3BP-[WT|2Y|H31A] spiked in at six concentrations\, measured in triplicate\, in two channels
- with placeholder:
LLPS_2Y_
=21-12-03, LLPS, GFP-G1wt, H31A, 2Y, rG1-wt, H31A, 2Y, 30-0 uM, 1h_GFP-G1-
+/ /x/
+/,/X/
21-12-03_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
- 21-12-10_LLPS_2Y
LLPS_2Y_[2Y|H31A|wt]XxrG1-[2Y|H31A|wt]Xx[0|5|10|15|20|25|30]xuM-[1|2|3]_z0_ch0[0|1].tif
- 126 TIF images of G3BP-[WT|2Y|H31A] spiked in at six concentrations\, measured in triplicate\, in two channels
- with placeholder:
LLPS_2Y_
=21-12-10, LLPS, GFP-G1wt, H31A, 2Y, rG1-wt, H31A, 2Y, 30-0 uM_GFP-G1-
+/ /x/
+/,/X/
21-12-10_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
@HTimages_4
LLPS_GFP-Caprin-1.zip
- 21-08-17_LLPS_FGDF
LLPS_FGDF_[wt|FGDF]XxrG1-wtx[1.25|2.5|5|10|20]xuMXx1h-[1|2|3]_z0_ch0[0|1].tif
- 60 TIF images of GFP-Cap1-[wt|FGDF] spiked in at 5 concentrations in triplicate measured in two channels
- with placeholders:
LLPS_FGDF_
=21-08-17, LLPS, GFP-Cap1-wt vs FGDF 5 mg-mL, rG1-wt_LLPS, GFP-Cap1-
+/ /x/
+/,/X/
21-08-17_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
- 21-08-23_LLPS_FGDF
LLPS_FGDF_[wt|FGDF]XxrG1-wtx[1.25|2.5|5|10|20]xuMXx1h-[1|2|3]_z0_ch0[0|1].tif
- 60 TIF images of GFP-Cap1-[wt|FGDF] spiked in at 5 concentrations in triplicate measured in two channels
- with placeholders:
LLPS_FGDF_
=21-08-23, LLPS, GFP-Cap1-wt vs FGDF, 5 mg-ml, rG1-wt_LLPS, GFP-Cap1-
+/ /x/
+/,/X/
21-08-23_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
- 21-08-27_LLPS_FGDF
LLPS_FGDF_[wt|FGDF]XxrG1-wtx[1.25|2.5|5|10|20]xuMXx1h-[1|2|3]_z0_ch0[0|1].tif
- 60 TIF images of GFP-Cap1-[wt|FGDF] spiked in at 5 concentrations in triplicate measured in two channels
- with placeholders:
LLPS_FGDF_
=21-08-27, LLPS, GFP-Cap1-wt vsFGDF, 5 mg-mL, rG1-wt 1h_LLPS, GFP-Cap1-
+/ /x/
+/,/X/
21-08-27_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
- 21-12-13_LLPS_FGDF
LLPS_FGDF_[wt|FGDF]XxrG1-wtXx[0|5|10|15|20|25|30]xuM-[1|2|3]_z0_ch0[0|1].tif
- 84 TIF images of GFP-Cap1-[wt|FGDF] spiked in at 7 concentrations in triplicate measured in two channels
- with placeholders:
LLPS_FGDF_
=21-12-13, LLPS, GFP-Cap1-wt vs FGDF, 4.2 mg, rG1-wt 30-0 uM_GFP-Caprin1-
+/ /x/
+/,/X/
21-12-13_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
- 21-12-23_LLPS_FGDF
LLPS_FGDF_[wt|FGDF]XxrG1x[0|5|10|15|20|25|30]xuM-2_z0_ch0[0|1].tif
- 84 TIF images of GFP-Cap1-[wt|FGDF] spiked in at 7 concentrations in triplicate measured in two channels
- with placeholder + substitutions:
LLPS_FGDF_
=21-12-23, LLPS, GFP-Cap wt vs FGDF, rG1 0-30 uM, 1h_GFP-Cap1-
+/ /x/
+/,/X/
21-12-23_Analysis_Coverage.xlsx
Analysis of Cellprofiler output in Excel sheet
@Images_1
Images_Blots.zip
- MainFigures
- Figure2
- Figure2A_westernblots
2s_IPs360-370_Cap1_Actin_G1_G2.tif
10s_Cap1_GAPDH_G1rerunlysates.tif
10s_Cap1_GAPDH_G1_lysates.tif
10s_IPs371-381_Cap1_G1_G2.tif
30s_Cap1_GAPDH_G1_lysates.tif
180s_IPs360-370_Cap1_Actin_G1_G2.tif
300s_IPs371-381_Cap1_G1_G2.tif
500s_IPs371-381_Cap1_G1_G2.tif
white_Cap1_GAPDH_G1rerunlysates.tif
white_Cap1_GAPDH_G1_lysates.tif
white_IPs360-370_Cap1_Actin_G1_G2.tif
white_IPs371-381_Cap1_G1_G2.tif
- Figure2A_westernblots
- Figure4
- Figure4B_westernblots
WB_1s_G1_Cap1_USp10_GAPDH.tif
WB_5s_UBAP2L_USP10_Cap1_G1_GAPDH_RPS6.tif
WB_10s_G1_Cap1_USp10_GAPDH.tif
WB_20s_UBAP2L_USP10_Cap1_G1_GAPDH_RPS6.tif
WB_60s_UBAP2L_USP10_Cap1_G1_GAPDH_RPS6.tif
WB_480s_UBAP2L_USP10_Cap1_G1_GAPDH_RPS6.tif
WB_white_G1_Cap1_USp10_GAPDH.tif
WB_white_UBAP2L_USP10_Cap1_G1_GAPDH_RPS6.tif
- Figure4B_westernblots
- Figure5
- Figure5A_IFimages
2Y_A01_s56_w[1|2|3].tif
3 TIF images2Y_B01_s100_w[1|2|3].tif
3 TIF images2Y_B02_s20_w[1|2|3].tif
3 TIF images2Y_B03_s53_w1[1|2|3].tif
3 TIF images
- **Figure5D_IFimages
LLPS_2Y_[2Y|H31A|wt]XxrG1-[2Y|H31A|wt]Xx[0|5|10|15|20|25|30]xuM-1_z0_ch0[0|1].tif
42 TIF images of G3BP-[WT|2Y|H31A] spiked in at six concentrations\, two channels
- Figure5A_IFimages
- Figure6
- Figure6A_IFimages
ddG32_z0_ch00.tif
ddG32_z0_ch01.tif
- **Figure6D_IFimages
22-01-112nd_Phlu2-G1rG1pH7_4-4-ImageExport-10_c1_green.tif
22-01-112nd_Phlu2-G1rG1pH7_4-4-ImageExport-10_c1-3.tif
22-01-112nd_Phlu2-G1rG1pH7_4-4-ImageExport-10_c1-c3.tif
22-01-112nd_Phlu2-G1rG1pH7_4-4-ImageExport-10_c1.tif
22-01-112nd_Phlu2-G1rG1pH7_4-4-ImageExport-10_c2.tif
22-01-112nd_Phlu2-G1rG1pH7_4-4-ImageExport-10_c3_blue.tif
22-01-112nd_Phlu2-G1rG1pH7_4-4-ImageExport-10_c3.tif
- Figure6A_IFimages
- Figure7
- Figure7A_westernblot
WB_10s_G1_GAP_FMR_Cap1.tif
wb_500s_O.N.FMR1.tif
WB_white_G1_GAP_FMR_Cap1.tif
wb_white_O.N.FMR1.tif
- Figure7C_IFimages
FGDF_A01_s10_w[1|2|3].tif
3 TIF imagesFGDF_A02_s9_w[1|2|3].tif
3 TIF imagesFGDF_B02_s9_w[1|2|3].tif
3 TIF images
- Figure7F_IFimages
LLPS_FGDF_[wt|FGDF]XxrG1-wtXx[0|5|10|15|20|25|30]xuM-1_z0_ch0[0|1].tif
28 TIF images of GFP-Cap1-[wt|FGDF] spiked in at 7 concentrations in triplicate measured in two channels
- Figure7A_westernblot
- Figure2
- ** SupplementalFigures **
- SupplementalFigureS3
- SupplementalFigureS3B_westernblot
15-05-12_PoncU2OSCaprin1KO.tif
240s_UBAP2L_G1_Cap1_GAPDH.tif
white_UBAP2L_G1_Cap1_GAPDH.tif
- SupplementalFigureS3D_IFimages
U2OS-wt+U2OS-Cap1-KOg2_MockCap1-2.tif
U2OS-wt+U2OS-Cap1-KOg2_MockG3BP1.tif
U2OS-wt+U2OS-Cap1-KOg2_MockTIA1.tif
U2OS-wt+U2OS-Cap1-KOg2_SACap1-2.tif
U2OS-wt+U2OS-Cap1-KOg2_SAG3BP1.tif
U2OS-wt+U2OS-Cap1-KOg2_SATIA1.tif
- SupplementalFigureS3B_westernblot
- SupplementalFigureS6
10s_IPs_UBAP2L_G1_Cap1_USP10_GAPDH.tif
10s_Lys_G3BP1reblot(good).tif
30s_IPs_UBAP2L_G1_Cap1_USP10_GAPDH.tif
240s_Lys_UBAP2L_G1_Cap1_GAPDH.tif
white_IPs_UBAP2L_G1_Cap1_USP10_GAPDH.tif
white_Lys_UBAP2L_G1_Cap1_GAPDH.tif
- SupplementalFigureS8
H31A_C02_s10_w1-merge-rgb.tif
H31A_C02_s10_w[1|2|3]-rgb.tif
3 TIFsddG_G1-wt-H31A-2Y_B01_s10_w3merge-rgb.tif
ddG_G1-wt-H31A-2Y_B01_s10_w[1|2|3]-rgb.tif
3 TIFs
- SupplementalFigureS9
LLPS_FGDF_[2y|H31A|wt]XxrG1-[2Y|H31A|wt]Xx20xuMXx[6.8|7.0|7.2|7.4|7.6|7.8]-1_z0_ch0[0|1].tif
36 TIF images
- SupplementalFigureS3
Methods
The deposited ZIP folders are described in following groups:
-
@HTimages_1
- high-throughput imaging datasets of cellular GFP-G3BP condensation assays presented in Figure 5 of the manuscript
- ZIP folders: img_plate2171.zip / img_plate2185.zip / img_plate21691.zip
- @HTimages_2
- high-throughput imaging datasets of cellular GFP-Caprin condensation assays presented in Figure 7 of the manuscript.
- ZIP folders: img_plate1734.zip / img_plate1735.zip / img_plate1737.zip / img_plate1740.zip
- @HTimages_3
- high-throughput imaging datasets of in-vitro reconstituted GFP-G3BP condensation assays (LLPS), presented in Figure 5 of the manuscript.
- ZIP folders: LLPS_GFP-G3BP1.zip
- @HTimages_4
- high-throughput imaging datasets of in-vitro reconstituted GFP-Caprin condensation assays (LLPS), presented in Figure 7 of the manuscript.
- ZIP folders: LLPS_GFP-Caprin-1.zip
- @CPpipelines_1
- Cellprofiler pipelines to analyse @HTimages_1
- ZIP folders: pipelines_G3BP1.zip t
- @CPpipelines_2
- Cellprofiler pipelines to analyse @HTimages_2
- ZIP folders:pipelines_Caprin1.zip
- @Images_1
- raw image files used for presentation of Blots or IF data in main and supplemental figures
- ZIP folders: Images_Blots.zip
The collection of datasets is described in the methods section of the associated manuscript (ms, https://royalsocietypublishing.org/doi/10.1098/rsob.220369)
-
@HTimages_1/@HTimages_2:
- ms section: 4.9.1. High-content microscopy:
- "Images were recorded with a Molecular Devices ImageXpress Micro microscope, equipped with a 20x or 40x objective, and illuminated with a mercury lamp and standard filters for DAPI, FITC, Cy3 and Cy5. Images were captured using a four-megapixel sCMOS digital camera with the manufacturer’s software MetaXpress, and raw TIF files were analyzed using CellProfiler (CP), ImageJ and Rstudio."
- @HTimages_3/@HTimages_4
- ms section: 4.9.4. In vitro reconstituted condensate assays
- "Images were taken with a Supercontinuum Confocal Leica TCS SP5 X, equipped with a pulsed white light laser and a Leica HCX PL Apo 63x/1.40 oil objective. "
- @Images_1
- ms section 4.8. Immunoprecipitation and immunoblotting
- ms section: 4.9. Immunofluorescence analysis
Usage notes
See README file for full details.
general notes on deposited file formats:
*.TIF or *.tif image files can be opened using standard software for images (ImageJ, Photoshop,...)
*.xlsx can be opened using Microsoft Excel
*.cpproj project files can be opened in Cellprofiler (https://cellprofiler.org/)
High-throughput (HT) imaging datasets can be analysed by opening the deposited Cellprofiler pipelines in Cellprofiler (https://cellprofiler.org/).
TIF files can also be viewed using any image viewing software (https://imagej.nih.gov/ij/download.html).
Scripts to analyse the Cellprofiler output, and additional information is found on Github:
https://github.com/derpaule/RSOB-22-0369